financial analyst

business analyst

data analyst

senior data engineer

quantitative researcher

data scientist

Experts Group International

<div>
 
 
 Job Title: Data Scientist (12-Month Contract)
 
 
 
 
 Location:
 
 UAE / Hybrid
 
 
 
 Contract Type:
 
 Full-Time, 12-Month Fixed-Term Contract
 
 
 
 
 
 
 About the Role:
 
 
 
 We are looking for a skilled and results-oriented
 
 Data Scientist
 
 to join our team on an initial
 
 12-month contract
 
 basis. This role will focus on leveraging data to support
 
 lead generation
 
 ,
 
 sales strategy
 
 ,
 
 pricing analytics
 
 , and automation through
 
 Python-based systems
 
 .
 
 
 You&rsquo;ll work closely with cross-functional teams&mdash;including Sales, Marketing, Product, and Engineering&mdash;to translate data into actionable insights, optimize pricing models, and build scalable tools that support growth and decision-making.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Develop and implement data models to identify high-value leads and optimize lead-generation funnels.
 </li>
 <li>
 Analyze
 
 sales performance
 
 and
 
 conversion data
 
 to support targeting, segmentation, and sales strategy.
 </li>
 <li>
 Build and maintain dynamic
 
 pricing models
 
 and conduct pricing sensitivity analysis to inform business decisions.
 </li>
 <li>
 Create, automate, and optimize workflows and reports using
 
 Python
 
 , SQL, and relevant tools.
 </li>
 <li>
 Collaborate with business stakeholders to define data needs, KPIs, and success metrics.
 </li>
 <li>
 Work with large datasets from multiple sources (e.g., CRM, marketing automation, web analytics).
 </li>
 <li>
 Design and maintain intuitive dashboards and reporting systems using
 
 Tableau
 
 ,
 
 Power BI
 
 , or
 
 Python Dash/Plotly
 
 .
 </li>
 <li>
 Support A/B testing, experiment design, and performance measurement for lead-gen and sales campaigns.
 </li>
 <li>
 Build predictive or classification models where appropriate (e.g., lead scoring, churn prediction).
 </li>
 <li>
 Collaborate with data engineers (or perform data engineering tasks) to ensure data pipeline reliability and scalability.
 </li>
 <li>
 Clearly communicate findings and recommendations to both technical and non-technical stakeholders.
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 Proven experience as a
 
 Data Scientist
 
 ,
 
 Data Analyst
 
 .
 </li>
 <li>
 Strong
 
 Python programming skills
 
 , including key libraries such as
 
 pandas
 
 ,
 
 NumPy
 
 ,
 
 scikit-learn
 
 ,
 
 matplotlib/seaborn
 
 , etc.
 </li>
 <li>
 Solid SQL skills and experience working with relational databases.
 </li>
 <li>
 Experience in data analysis for
 
 lead generation
 
 ,
 
 sales optimization
 
 , or
 
 pricing analytics
 
 .
 </li>
 <li>
 Experience with version control tools (e.g., Git) and collaborative codebases.
 </li>
 <li>
 Ability to manage multiple priorities and meet deadlines in a fast-paced environment.
 </li>
 <li>
 Familiarity with cloud platforms (e.g., AWS, GCP, or Azure) is a plus.
 </li>
 <li>
 Experience working with APIs or web scraping for lead or data acquisition is a plus.
 </li>
 <li>
 Comfortable working in cross-functional teams and communicating insights clearly to non-technical stakeholders.
 </li>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in
 
 Data Science
 
 ,
 
 Statistics
 
 ,
 
 Computer Science
 
 ,
 
 Economics
 
 ,
 
 Mathematics
 
 , or a related field.
 </li>
 </ul>
 
 
</div>

Data Scientist

The Entertainer FZ LLC

<div>About Us 
 
The ENTERTAINER is a leading digital company dedicated to adding value for consumers by bringing them the best incentive offers globally. We are a 100% digital, data-driven tech company providing first-rate offers across renowned dining, leisure, entertainment, and hotel brands worldwide. The ENTERTAINER has grown with the aim of creating unbeatable value and loyalty everywhere we operate. We believe that &quot;experience is everything,&quot; and that's why we are passionate about creating unforgettable experiences for our customers, partners, and employees. 
 
About the Role 
 
We are looking for a strategic and hands-on Data Scientist to lead data innovation and decision science within our B2C business. This role will collaborate closely with Product, Technology, Marketing, and Sales teams to develop predictive models, personalization strategies, and business insights that accelerate user acquisition, improve customer retention, and boost merchant engagement &mdash; including voucher redemptions and Digital Reach monetization. 
 
As a Data Scientist you will 
 
Strategic Impact &amp; Business Influence<ul><li>
Define and execute a holistic data science strategy aligned with B2C growth goals.</li><li>
Drive experimentation and insight generation to optimize key levers: user engagement, subscription renewals, merchant redemptions, and DR visibility.</li><li>
Influence key decisions across marketing campaigns, product features and merchant onboarding through predictive insights.</li><li>
Serve as a data evangelist, promoting cross-functional alignment and a strong data-first mindset.</li><li>
Stay ahead of AI/ML advancements and implement cutting-edge techniques to solve business challenges.
</li></ul> 
Product &amp; Business Intelligence<ul><li>
Build churn prediction models, lifetime value (LTV) scoring, and behavioral segmentation to enhance subscription lifecycle management.</li><li>
Analyze in-app behavior and transaction data to optimize Digital Reach placement effectiveness and merchant ROI.</li><li>
Collaborate with Product teams to implement A/B testing frameworks and data-backed roadmap prioritization.</li><li>
Build customer segmentation models to personalize offers, improve targeting, and enhance loyalty program effectiveness.</li><li>
Work with Marketing to optimize customer acquisition costs (CAC), churn prediction, and retention strategies.</li><li>
Support Sales &amp; Partnerships with merchant performance analytics to drive higher voucher redemptions and upsell opportunities.</li><li>
Implement real-time analytics dashboards to track KPIs (active users, redemptions, DR revenue) and provide actionable insights.
</li></ul> 
Analytics Engineering &amp; Infrastructure<ul><li>
Partner with Data Engineers to build scalable data pipelines and maintain a clean data lake suitable for advanced analytics.</li><li>
Lead development of dashboards and self-serve analytics tools for key stakeholders.</li></ul> 

What we&rsquo;re looking for<ul><li>
3-5 years of experience in Data Science, Machine Learning or Advanced Analytics, ideally in a B2C e-commerce, subscription or digital commerce environment.</li><li>
Bachelor's or Master&rsquo;s degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.</li><li>
Proficiency in Python, R, SQL, and Big Data platforms such as BigQuery, MLFlow, Databricks, GCP, or AWS.</li><li>
Deep understanding of machine learning (e.g., XGBoost, LightGBM, Scikit-learn) and predictive modeling techniques.</li><li>
Proficiency in designing experiments (A/B testing) and statistical inference techniques.</li></ul> 

Preferred:<ul><li>
Experience working on mobile app analytics, offer redemption behavior, or consumer loyalty ecosystems.</li><li>
Exposure to advertising analytics and performance optimization for in-app marketing/ads (like DR).</li><li>
Familiarity with modern data visualization tools like Tableau, Power BI.</li></ul> 

Core Competencies<ul><li>
Strategic thinker with strong business acumen and the ability to translate data into commercial impact.</li><li>
Excellent communication and storytelling skills to influence executive stakeholders.</li><li>
Track record of delivering high-impact insights and building analytics capabilities from scratch.</li><li>
Strong mentoring, coaching, and cross-functional collaboration abilities.</li></ul> 

What We Offer<ul><li>
Competitive salary and benefits package.</li><li>
Opportunity to work with an energetic and innovative company.</li><li>
A chance to contribute to the success of a well-known UAE brand.</li></ul>
AdJwLsSZTb</div>

Discovered MENA

<div>
 
 
 Location:
 
 Dubai
 
 
 
 
 
 We&rsquo;re seeking a highly skilled technical specialist to rigorously assess and validate third-party AI solutions. You will collaborate closely with Product Managers, AI Architects, and domain experts to scrutinize vendor offerings, create innovative evaluation methods, and perform hands-on testing. Your goal is to verify vendor claims, measure performance, and determine the suitability of AI solutions across multiple contexts - Provider, Payer, Enterprise, and Consumer.
 
 
 
 
 
 Drawing on deep knowledge of AI/ML principles, data analysis, and validation frameworks, you will help the organization invest in AI technologies that are robust, effective, and ethically sound. You&rsquo;ll play a pivotal role in separating hype from reality and providing the technical evidence needed for strategic decisions.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Perform comprehensive technical reviews of third-party AI products, including their methodologies, algorithms, data requirements, disclosed model architectures, and performance claims.
 </li>
 <li>
 Design and implement rigorous evaluation frameworks and testing protocols for diverse AI applications (predictive analytics, NLP, computer vision, etc.).
 </li>
 <li>
 Execute evaluation plans: prepare data, engineer features for comparative analysis when necessary, run vendor models/APIs, and analyze outputs.
 </li>
 <li>
 Benchmark and compare competing vendor solutions addressing the same problem.
 </li>
 <li>
 Translate complex evaluation results into clear, actionable insights for both technical and business stakeholders.
 </li>
 <li>
 Produce detailed technical reports and presentations summarizing findings, highlighting performance, limitations, risks, and data-fit considerations.
 </li>
 <li>
 Collaborate with AI Architects and engineering teams to assess integration feasibility and data-pipeline needs.
 </li>
 <li>
 Share best practices and contribute to the broader technical community on AI model evaluation and validation.
 </li>
 </ul>
 
 
 
 
 
 Minimum Requirements
 
 
 <ul>
 <li>
 Master&rsquo;s degree or PhD in Data Science, Computer Science, Statistics, Mathematics, Physics, or another quantitative discipline.
 </li>
 <li>
 3&ndash;5+ years of hands-on experience as a Data Scientist or Machine Learning Engineer, with a portfolio showcasing AI/ML model development, evaluation, and deployment.
 </li>
 <li>
 Strong programming skills in Python or R, along with libraries such as scikit-learn, TensorFlow, PyTorch, Pandas, and NumPy.
 </li>
 <li>
 Solid understanding of a broad range of machine learning algorithms - classification, regression, clustering, NLP, and computer vision - and their mathematical foundations.
 </li>
 <li>
 Proven track record in model validation techniques, including cross-validation, A/B testing, and bias assessment.
 </li>
 <li>
 Advanced statistical analysis abilities and a critical eye for model performance metrics.
 </li>
 <li>
 Proficiency with SQL or similar data-querying languages and experience working with large datasets.
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 Background in healthcare (Provider, Payer, Life Sciences, HealthTech) and familiarity with healthcare data such as EHR, claims, imaging, or omics.
 </li>
 <li>
 Experience evaluating third-party AI/ML products or working with MLaaS platforms.
 </li>
 <li>
 Knowledge of ethical AI practices, including fairness, accountability, and transparency (FAT).
 </li>
 <li>
 Familiarity with cloud-based ML platforms such as AWS SageMaker, Azure ML, or Google AI Platform.
 </li>
 <li>
 Understanding of data governance, privacy regulations (HIPAA, GDPR), and security in AI contexts.
 </li>
 <li>
 Creative problem-solving skills and the ability to overcome evaluation challenges with limited information.
 </li>
 <li>
 Excellent communication skills for presenting complex technical findings to varied audiences.
 </li>
 </ul>
 
 
</div>

Involved Solutions

<div>
 
 We have partnered with a high-growth FinTech company in Dubai to recruit a Senior Data Scientist. This role will focus on developing AI/ML models that directly impact customer analytics, fraud prevention, and product innovation.
 
 
 
 
 
 About the role
 
 <ul>
 <li>
 Build, test, and deploy predictive and machine learning models for fintech use cases.
 </li>
 <li>
 Work with large-scale transactional and customer datasets to deliver actionable insights.
 </li>
 <li>
 Lead experimentation and A/B testing to optimise products and user journeys.
 </li>
 <li>
 Partner with engineering teams to scale models into production and monitor performance.
 </li>
 </ul>
 
 
 
 
 About you
 
 <ul>
 <li>
 Masters in Data Science, Statistics, or Applied Mathematics.
 </li>
 <li>
 6+ years of data science experience, with strong focus on AI/ML model development.
 </li>
 <li>
 Excellent knowledge of Python, SQL, and data visualisation tools.
 </li>
 <li>
 Experience with financial services datasets (fraud detection, credit scoring, or risk modelling).
 </li>
 <li>
 Ability to translate technical solutions into business impact for non-technical stakeholders.
 </li>
 </ul>
</div>

Senior Data Scientist

1inch Labs

<div>
 1inch is the DeFi ecosystem building financial freedom for everyone. 1inch products help users and builders trade, hold and track digital assets - with the self-custody, comprehensive security and the intuitive user experience they need to unlock the potential of true crypto ownership. 1inch protocols and APIs provide core infrastructure across the DeFi industry and beyond.
 
 
 So if you&rsquo;re someone who thinks big, moves fast and wants to make an impact right from day one, then get ready to join our industry-changing team.
 
 
 
 Location: We hire with a focus on Dubai and Europe. For this role, we prefer candidates who are either based in Dubai or working remotely within +/- 4 hours GST time.
 
 
 
 We&rsquo;re looking for a Senior Data Scientist to help strengthen our growing Data &amp; Analytics team. This role will play a key part in improving our data infrastructure, maintaining high data quality, and delivering fast, actionable insights across teams. They&rsquo;ll also support product, business, and strategic decision-making through advanced analytics.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Activiley shaping how company uses data for strategic decisions
 </li>
 <li>
 Enhance data infrastructure and tooling for improved efficiency
 </li>
 <li>
 Support critical business units with ad-hoc analytics and insights
 </li>
 <li>
 Conduct deep-dive research and analysis to uncover actionable findings
 </li>
 <li>
 Improve data collection and analytics processes across teams
 </li>
 <li>
 Ensure dashboards provide clarity, usability, and real-time visibility
 
 
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Minimum 5+ years of experience in data science, data analytics, or related field
 </li>
 <li>
 Proven track record of implementing data infrastructure improvements and optimisations
 </li>
 <li>
 Prior experience working with blockchain tools or DeFi data strongly preferred
 </li>
 <li>
 Strong proficiency in SQL, Python, and data visualisation tools
 </li>
 <li>
 Experience with data warehousing, ETL processes, and data pipeline optimisation
 </li>
 <li>
 Understanding of statistical concepts and practical experience applying them
 </li>
 <li>
 Ability to translate complex findings into clear, actionable insights
 </li>
 <li>
 Collaborative mindset with excellent communication skills to work effectively across teams
 
 
 </li>
 </ul>
</div>

Deeplight

<div>About DeepLight AI: DeepLight AI is a specialist AI partner with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking. Our team combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.
Role Overview: We are looking for a Senior AI/Data Scientist with deep banking subject matter expertise to design, develop and implement statistical models and data-driven solutions for our enterprise clients. The successful candidates will work on risk modeling, portfolio optimization, and regulatory capital management across treasury, wholesale banking, and corporate lending divisions.
Key Responsibilities:<ul>
<li>Develop and implement risk models for treasury operations, corporate lending, wholesale banking, and liquidity management, with deep understanding of the underlying business context</li>
<li>Build RAROC and RAC optimization frameworks to improve risk-adjusted returns and capital allocation across business lines</li>
<li>Create statistical models for corporate credit risk, including PD, LGD, and EAD models for lending decisions and portfolio management</li>
<li>Provide subject matter expertise on Basel requirements, regulatory capital models, and stress testing frameworks</li>
<li>Partner with business stakeholders in treasury, risk, and corporate banking to translate business requirements into statistical solutions</li>
</ul>Requirements
Requirements<ul>
<li>8+ years of experience in data science and statistical modeling within banking/financial services
</li><li>Proven track record developing risk models for corporate banking, wholesale banking, or treasury functions</li>
<li>Advanced degree in Statistics, Mathematics, Data Science, or related quantitative field preferred</li>
<li>Strong proficiency in Python and relevant statistical/ML frameworks but more importantly, deep understanding of the statistical concepts underlying these tools
</li><li>Hands-on experience with regulatory capital models and Basel framework</li>
<li>Strong problem-solving skills and attention to detail</li>
</ul>Note: We're looking for true data scientists with solid statistical foundations AND proven banking domain expertise, not software engineers who've picked up some ML libraries. The ideal candidate has actually built and deployed risk models in production banking environments and can serve as a subject matter expert for our clients.
Benefits
Benefits &amp; Growth Opportunities:<ul><li>Competitive salary and performance bonuses</li><li>Comprehensive health insurance</li><li>Professional development and certification support</li><li>Opportunity to work on cutting-edge AI projects</li><li>International exposure and travel opportunities</li><li>Flexible working arrangements</li><li>Career advancement opportunities in a rapidly growing AI company</li></ul>
This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.</div>

Al-Futtaim

<div>Job Requisition ID: 171746

Established in the 1930s as a trading business, Al-Futtaim Group today is one of the most diversified and progressive, privately held regional businesses headquartered in Dubai, United Arab Emirates. Structured into five operating divisions; automotive, financial services, real estate, retail and healthcare; employing more than 35,000 employees across more than 20 countries in the Middle East, Asia and Africa, Al-Futtaim Group partners with over 200 of the world's most admired and innovative brands. Al-Futtaim Group&rsquo;s entrepreneurship and relentless customer focus enables the organization to continue to grow and expand; responding to the changing needs of our customers within the societies in which we operate.

By upholding our values of respect, excellence, collaboration and integrity; Al-Futtaim Group continues to enrich the lives and aspirations of our customers each and every day 


Overview of the role:

Al Futtaim is looking for a Senior Data Scientist to join our team in Dubai, part of a team sitting at the cornerstone of algorithms, mathematics and engineering, a team that is tasked with solving problems by designing and implementing production-ready data science algorithms and machine learning models to manage Risk and help Al Futtaim maintain the advantage in the market. 


What you will do:
<ul>
<li>Responsible for the development of the predictive and forecasting models (RV, Equity Mining, SMR, etc.)</li>
<li>Responsible for the full model cycle from experimentation to deployment (ML-Flow), model calibrations to accommodate any drifts and define the post modeling adjustments (PMA) to optimize performance.</li>
<li>Responsible of the Regional and International Asset Risk Monitoring.</li>
<li>Calculate RV Provisions, identify hand-backs as well as their rates, and quantify features impact.</li>
<li>Conduct statistical and quantitative analyses to identify and quantify potential risks. Prepare RV Risk recommendations highlighting the risks and proposing mitigations</li>
<li>Design and develop risk measures, methodologies, and models (RV &amp; SMR Risk)</li>
<li>Define the pull-forward (or backward) strategy to optimize the trade cycle.</li>
<li>Quantify the features importance in Time-to-fail and Mileage-to-fail</li>
<li>Develop other predictive and analytical models using the appropriate methodologies</li>
<li>Recommending actions based on your insights by effectively telling the story that is supported by data through presentations, data visualizations and clear and concise verbal and written communication skills</li>
<li>Building relationships with key stakeholders across Al Futtaim such as IT, Finance, Remarketing, Sales etc.</li>
<li>Coordinating with various stakeholders to help implement recommended actions</li>
<li>Guiding/mentoring other data scientists/analysts on best practices for analysis and data storytelling</li>
<li>Planning, organizing and time management: must be capable of developing related operational plans as well as detailed project level plans. Must display sound independent time management skills by delivering activity within prescribed timeframes through the effective prioritization of actions across multiple operations and projects</li>
<li>Communication: must possess good written and verbal communication skills and be able to effectively communicate with and present to both internal and external stakeholders across all business levels.
</li><li>Teamwork: must be an excellent team player, able to establish strong working relationships with stakeholders, colleagues, and business partners.</li></ul> 


Required Skills to be successful:
<ul>
<li>5 years&rsquo; experience in banking or financial services, specializing in data analytics and business intelligence.</li>
<li>Strong knowledge of statistics, with hands-on expertise in Python and SQL for data modeling, automation, and reporting.</li>
<li>Proven track record in delivery of analytics use cases such as credit risk modeling, fraud detection, customer segmentation, and compliance reporting.</li></ul> 


About the Team:
<ul>
<li>You will be reporting to Head of Data Science &amp; Asset Risk</li></ul> 


What equips you for the role:
<ul>
<li>5+ years of experience in financial services. Preferably in the Automotive or Captive Finance industries.</li>
<li>5+ years of hands-on experience in Data Science (Machine Learning, NLP, Neural Nets, Time-Series Forecasting, etc.). Supervised and un-supervised learning methods for inference on data patterns.</li>
<li>Strong statistics knowledge and quantitative problem-solving skills</li>
<li>Proficiency with open-source ML frameworks (scikit-learn, tensorflow, RF, xgboost, MLFlow etc.)</li>
<li>Excellent Python, R and SQL programming skills. Familiarity with Azure Databricks is a plus.</li>
<li>Advanced level of MS-Office required. Data visualization tools Power BI, Tableau or Qlik is preferred</li>
<li>BSc or MSc degree in Statistics, Mathematics, Actuarial, Engineering, or a closely related discipline.</li>
<li>Full proficiency in English (mandatory)</li></ul> 
About Al-Futtaim Automotive 
A major division of the UAE-based Al-Futtaim Group of companies, Al-Futtaim Automotive is an industry leader with presence in 10 countries across the Middle East, Asia and Africa. 
Our core business activities at Al-Futtaim Automotive include distribution, manufacturing, leasing and aftersales, and we are firmly established as the regional representative of some of the world&rsquo;s most iconic automotive brands: Toyota, Lexus, Honda, Jeep, Chrysler, Dodge, Volvo and RAM. 
We are driven by a customer-centric approach, constantly pushing the boundaries on innovation, quality standards, and value-added service across our vast universe of customers - right from motoring enthusiasts to fleet operators to contractors. Our mission is to become the leader in custom-made mobility solutions by delivering nothing less than world-class omni-channel experiences. 
We channel our local expertise and global trust to deliver one of the most comprehensive portfolios of mobility products and solutions, from passenger cars to SUVs, electric vehicles to high-performance motorbikes, commercial vehicles to industrial &amp; construction equipment. 
What keeps the company moving forward is a 9000-member strong team, with inspiring possibilities for growth, throughout the career path. This is Al-Futtaim Automotive and we empower talent to move forward.</div>

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